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Single cell RNA sequencing of human primary glioblastoma

ABSTRACT: Single cell RNA sequencing of human primary glioblastoma

PROVIDER: PRJNA1131103 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR29686925_1.fastq.gz	Fastqsanger.gz
	SRR29686925_2.fastq.gz	Fastqsanger.gz
	SRR29686926_1.fastq.gz	Fastqsanger.gz
	SRR29686926_2.fastq.gz	Fastqsanger.gz
	SRR29686927_1.fastq.gz	Fastqsanger.gz

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Project description:We report transcriptomes from 430 single glioblastoma cells isolated from 5 individual tumors and 102 single cells from gliomasphere cells lines generated using SMART-seq. In addition, we report population RNA-seq from the five tumors as well as RNA-seq from cell lines derived from 3 tumors (MGH26, MGH28, MGH31) cultured under serum free (CSC) and differentiated (FCS) conditions. This dataset highlights intratumoral heterogeneity with regards to the expression of de novo derived transcriptional modules and established subtype classifiers. Operative specimens from five glioblastoma patients (MGH26, MGH28, MGH29, MGH30, MGH31) were acutely dissociated, depleted for CD45+ inflammatory cells and then sorted as single cells (576 samples). Population controls for each tumor were isolated by sorting 2000-10000 cells and processed in parallel (5 population control samples). Single cells from two established cell lines, GBM6 and GBM8, were also sorted as single cells (192 samples). SMART-seq protocol was implemented to generate single cell full length transcriptomes (modified from Shalek, et al Nature 2013) and sequenced using 25 bp paired end reads. Single cell cDNA libraries for MGH30 were resequenced using 100 bp paired end reads to allow for isoform and splice junction reconstruction (96 samples, annotated MGH30L). Cells were also cultured in serum free conditions to generate gliomasphere cell lines for MGH26, MGH28, and MGH31 (CSC) which were then differentiated using 10% serum (FCS). Population RNA-seq was performed on these samples (3 CSC, 3 FCS, 6 total). The initial dataset included 875 RNA-seq libraries (576 single glioblastoma cells, 96 resequenced MGH30L, 192 single gliomasphere cells, 5 tumor population controls, 6 population libraries from CSC and FCS samples). Data was processed as described below using RSEM for quantification of gene expression. 5,948 genes with the highest composite expression either across all single cells combined (average log2(TPM)>4.5) or within a single tumor (average log2(TPM)>6 in at least one tumor) were included. Cells expressing less than 2,000 of these 5,948 genes were excluded. The final processed dataset then included 430 primary single cell glioblastoma transcriptomes, 102 single cell transcriptomes from cell lines(GBM6,GBM8), 5 population controls (1 for each tumor), and 6 population libraries from cell lines derived from the tumors (CSC and FCS for MGH26, MGH28 and MGH31). The final matrix (GBM_data_matrix.txt) therefore contains 5948 rows (genes) quantified in 543 samples (columns). Please note that the samples which are not included in the data processing are indicated in the sample description field.

Project description:MicroRNAs (miRNAs) are small (21-25 nucleotide in length) non-coding RNA molecules that negatively regulate protein expression. They are linked to cancer development and maintenance. In this work, studying gene expression profiles of 340 mammalian miRNAs with DNA microarrays, we selected 10 miRNAs gene features able to distinguish primary from secondary glioblastoma type; furthermore we verified that miR-21 and miR-155 up-regulatation seems to characterize the glioblastoma tumour state since it was found up-regulated in all samples analyzed compared to adult brain noneoplastic tissue. Since miR-21 function in glioblastoma cells was addressed previously we concentrated our efforts on miR-155 function. We found that miR-155 levels were markedly elevated both in primary and secondary glioblastomas tumours, in glioblastoma cell cultures and in 4 glioblastoma cell lines (U87, A172, LN229, and LN308) compared with adult brain tissue, CHP212-neuroblastoma cell lines and DAOY-1-medulloblastoma cell line. Since one of the miR-155 target was gamma-aminobutyric acid (GABA) A receptor (GABRA1) we verified if there was a relation between miR-155 up-regulation and GABRA1 expression. We demonstrated that, in cultured glioblastoma cells, knockdown of miR-155, which lower miR-155 expression to normal level, restore the normal expression of the gamma-aminobutyric acid (GABA) A receptor (GABRA1), making glioblastoma cells responsive to GABA cell cycle inhibiting signals. Our data suggest that aberrantly over-expressed miR-155 contribute to the malignant phenotype of the glioblastoma cells, promoting their unlimited growth. Keywords: miRNA expression profile We studied the expression profiles of 340 miRNAs in 97 glioblastoma tissues, of which 66 were primary glioblastomas and 27 were secondary glioblastomas. We have 66 replicates of primary glioblastoma and 27 replicates of secondary glioblastoma, each hybridized with the respective adult non-neoplastic brain tissue as a control.

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Single cell RNA sequencing of human primary glioblastoma

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